000131174 001__ 131174
000131174 005__ 20190812205250.0
000131174 037__ $$aCONF
000131174 245__ $$aGait pattern prediction via bilateral neural ensemble recordings in motor cortex in rats.
000131174 269__ $$a2008
000131174 260__ $$bFens$$c2008$$aGenève
000131174 336__ $$aConference Papers
000131174 490__ $$aBrain Machine interfaces
000131174 520__ $$aWe are interested in developing and building an experimental system for controlling a quadruped robot with a brain-derived signal of a rat. We recorded large ensembles of neurones in left M1 and right M1 and S1 using chronically implanted multi-electrodes arrays (up to 96 electrodes) in rats. The interpretation of such signals has proceeded to an advanced stage in animal experiments. Recently, this highly documented and efficient technology has given many concrete results and has opened new perspectives in the neuroprosthetics field. In our project we correlated motor area signals with the speed of a rat when walking on a treadmill. In parallel, we have performed an accurate analysis of rats kinematics. We performed the gait analysis thanks to an ad hoc motion capture system. We are able to reconstruct a 19 DOF (degree of freedom) simulated model of the rat skeleton for different speeds and different gaits patterns (walk to trot). We can now predict any of the 19 joint angles positions given brain derived signal. Preliminary results of our models suggest that with a high dimensional signal from cortical activity we can predict the actual gait patterns well (up to R2 = 0.64).
000131174 6531_ $$aBrain machine interface
000131174 6531_ $$aElectrophyiology
000131174 6531_ $$aGait analysis
000131174 700__ $$0242144$$g128971$$aShokur, S
000131174 700__ $$aTate, A J
000131174 700__ $$g104561$$aBleuler, H$$0240027
000131174 700__ $$aNicolelis, M L
000131174 7112_ $$dJuly 12-16, 2008$$cGeneva$$aIn Forum of European Neuroscience.
000131174 773__ $$j4$$t6th FENS Forum of European Neuroscience$$k191.3
000131174 909C0 $$pLSRO$$0252016
000131174 909CO $$ooai:infoscience.tind.io:131174$$pconf$$pSTI
000131174 937__ $$aLSRO-CONF-2009-006
000131174 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000131174 980__ $$aCONF